The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Defining a new nomenclature for the structures of active and inactive kinases
Open accessPublished version of a preprint
Abstract
Targeting protein kinases is an important strategy for intervention in cancer. Inhibitors are directed at the active conformation or a variety of inactive conformations. While attempts have been made to classify these conformations, a structurally rigorous catalog of states has not been achieved. The kinase activation loop is crucial for catalysis and begins with the conserved DFGmotif. This motif is observed in two major classes of conformations, DFGin—a set of active and inactive conformations where the Phe residue is in contact with the C-helix of the N-terminal lobe—and DFGout—an inactive form where Phe occupies the ATP site exposing the C-helix pocket. We have developed a clustering of kinase conformations based on the location of the Phe side chain (DFGin, DFGout, and DFGinter or intermediate) and the backbone dihedral angles of the sequence X-D-F, where X is the residue before the DFGmotif, and the DFG-Phe side-chain rotamer, utilizing a density-based clustering algorithm. We have identified eight distinct conformations and labeled them based on the Ramachandran regions (A, alpha; B, beta; L, left) of the XDF motif and the Phe rotamer (minus, plus, trans). Our clustering divides the DFGin group into six clusters including BLAminus, which contains active structures, and two common inactive forms, BLBplus and ABAminus. DFGout structures are predominantly in the BBAminus conformation, which is essentially required for binding type II inhibitors. The inactive conformations have specific features that make them unable to bind ATP, magnesium, and/or substrates. Our structurally intuitive nomenclature will aid in understanding the conformational dynamics of kinases and structure-based development of kinase drugs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures








Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“However, a protein can exist in one conformation in its “inactive” state and another in its “active” state.53–56”
From AlphaFold 2: Why It Works and Its Implications for Understanding the Relationships of Protein Sequence, Structure, and Function (2021) · cites this paper as [54]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
PHENIX : a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., et al. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909052925 · Cited by 23,716
(1996) · Cited by 20,179
The protein kinase complement of the human genome
Manning, G., Whyte, D. B., Martinez, R., Hunter, T., & Sudarsanam, S. (2002) · Science · doi:10.1126/science.1075762 · Cited by 8,145
PHENIX: a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkòczi, G., Chen, V. B., Davis, I., Echols, N., Headd, J. J., Hung, L., Kapral, G. J., Grosse‐Kunstleve, R. W., et al. (2012) · International Tables for Crystallography · doi:10.1107/97809553602060000865 · Cited by 7,334
Mardia, K. V., & Jupp, P. E. (1999) · Wiley series in probability and statistics · doi:10.1002/9780470316979 · Cited by 3,277
Targeting cancer with small molecule kinase inhibitors
Zhang, J., Yang, P. L., & Gray, N. S. (2008) · Nature reviews. Cancer · doi:10.1038/nrc2559 · Cited by 2,648
Satisfying Hydrogen Bonding Potential in Proteins
McDonald, I. K., & Thornton, J. M. (1994) · Journal of Molecular Biology · doi:10.1006/jmbi.1994.1334 · Cited by 2,136
The Conformational Plasticity of Protein Kinases
Huse, M., & Kuriyan, J. (2002) · Cell · doi:10.1016/s0092-8674(02)00741-9 · Cited by 1,760
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining
Simoudis, E., Han, J., & Fayyad, U. M. (1996) · Cited by 1,121
Cited by
Sorted by citations
Items 101–200 of 367
Structure and Function of a Class III Metal-Independent Lanthipeptide Synthetase
Garcia, A. H., & Nair, S. K. (2023) · ACS Central Science · doi:10.1021/acscentsci.3c00484 · Cited by 17
Development of MPS1 Inhibitors: Recent Advances and Perspectives
Zeng, Y., Ren, X., Jin, P., Zhang, Y., Zhuo, M., & Wang, J. (2023) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.3c00963 · Cited by 17
Wittlinger, F., Chitnis, S. P., Pham, C. D., Damghani, T., Patel, K. B., Möllers, M., Schaeffner, I. K., Abidakun, O. A., Deng, M. Q., Ogboo, B. C., et al. (2024) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.4c02311 · Cited by 16
The death-inducing activity of RIPK1 is regulated by the pH environment
Moriwaki, K., Balaji, S., & Chan, F. K.-M. (2020) · Science Signaling · doi:10.1126/scisignal.aay7066 · Cited by 18
Explaining Conformational Diversity in Protein Families through Molecular Motions
Lombard, V., Grudinin, S., & Laine, É. (2024) · Scientific Data · doi:10.1038/s41597-024-03524-5 · Cited by 20
Schmidt, D., Scharf, M. M., Sydow, D., Aßmann, E., Martí-Solano, M., Keul, M., Volkamer, A., & Kolb, P. (2021) · Molecules · doi:10.3390/molecules26030629 · Cited by 18
Structure of TFIIK for phosphorylation of CTD of RNA polymerase II
van Eeuwen, T., Li, T., Kim, H. J., Colón, J. J. G., Parker, M. I., Dunbrack, R. L., Garcia, B. A., Tsai, K., & Murakami, K. (2021) · Science Advances · doi:10.1126/sciadv.abd4420 · Cited by 24
Self-citationAwasthi, B. P., Guragain, D., Chaudhary, P., Jee, J., Kim, J., & Jeong, B. (2022) · Chemico-Biological Interactions · doi:10.1016/j.cbi.2022.110255 · Cited by 16
Conditioned Protein Structure Prediction
(2024) · doi:10.1103/prxlife.2.043001 · Cited by 16
He, F., Wang, X., Wu, Q., Liu, S.-Z., Cao, Y., Guo, X., Yin, S., Yin, N., Li, B., & Fang, M. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.106645 · Cited by 17
Ng, J. T.-Y., & Tan, Y. S. (2022) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.1c01177 · Cited by 15
Simulation of ligand dissociation kinetics from the protein kinase PYK2
Spiriti, J. M., Noé, F., & Wong, C. F. (2022) · Journal of Computational Chemistry · doi:10.1002/jcc.26991 · Cited by 14
Estevam, G. O., Linossi, E. M., Macdonald, C. B., Espinoza, C. A., Michaud, J. M., Coyote-Maestas, W., Collisson, E. A., Jura, N., & Fraser, J. S. (2024) · eLife · doi:10.7554/elife.91619 · Cited by 22
Expanding FTMap for Fragment-Based Identification of Pharmacophore Regions in Ligand Binding Sites
Khan, O., Jones, G. S., Lazou, M., Joseph‐McCarthy, D., Kozakov, D., Beglov, D., & Vajda, S. (2024) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.3c01969 · Cited by 17
Andrianov, G. V., Ong, W. J. G., Serebriiskii, I. G., & Karanicolas, J. (2021) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.1c00630 · Cited by 15
Design and development of photoswitchable DFG-Out RET kinase inhibitors
Xu, Y., Gao, C., Andréasson, M., Håversen, L., Carrasco, M. P., Fleming, C. L., Lundbäck, T., Andréasson, J., & Grøtli, M. (2022) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2022.114226 · Cited by 15
Gatekeeper mutations activate FGF receptor tyrosine kinases by destabilizing the autoinhibited state
Besch, A., Marsiglia, W. M., Mohammadi, M., Zhang, Y., & Traaseth, N. J. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2213090120 · Cited by 15
Revealing eEF-2 kinase: recent structural insights into function
Piserchio, A., Dalby, K. N., & Ghose, R. (2023) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2023.11.004 · Cited by 14
Paul, A., & Srinivasan, N. (2020) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.25981 · Cited by 14
Structural basis of the (in)activity of the apical DNA damage response kinases ATM, ATR and DNA-PKcs
Jansma, M., & Hopfner, K. (2020) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2020.10.009 · Cited by 14
Discovery of oncogenic ROS1 missense mutations with sensitivity to tyrosine kinase inhibitors
Iyer, S. R., Nusser, K. D., Jones, K. L., Shinde, P., Beach, C. Z., Keddy, C., Aguero, E., Force, J. M., Shinde, U. P., & Davare, M. A. (2023) · EMBO Molecular Medicine · doi:10.15252/emmm.202217367 · Cited by 16
Song, J., Ha, J., Lee, J., Ko, J., & Shin, W. (2024) · Scientific Reports · doi:10.1038/s41598-024-75400-6 · Cited by 16
PKD autoinhibition in trans regulates activation loop autophosphorylation in cis
Reinhardt, R., Hirzel, K., Link, G., Eisler, S. A., Hägele, T., Parson, M. A. H., Burke, J. E., Hausser, A., & Leonard, T. A. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2212909120 · Cited by 13
Can Deep Learning Blind Docking Methods be Used to Predict Allosteric Compounds?
Chen, E. A., & Zhang, Y. (2025) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5c00331 · Cited by 14
Conformational heterogeneity of the BTK PHTH domain drives multiple regulatory states
Lin, D. Y.-W., Kueffer, L. E., Juneja, P., Wales, T. E., Engen, J. R., & Andreotti, A. H. (2023) · eLife · doi:10.7554/elife.89489 · Cited by 13
Structural Consequences of Multisite Phosphorylation in the BAK1 Kinase Domain
Moffett, A. S., & Shukla, D. (2020) · Biophysical Journal · doi:10.1016/j.bpj.2019.12.026 · Cited by 13
Kakarala, K. K., & Jamil, K. (2021) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2021.1891140 · Cited by 13
Palaka, B. K., Vijayakumar, S., & Choudhury, S. R. (2021) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2021.08.152 · Cited by 13
Benchmarking Cross-Docking Strategies in Kinase Drug Discovery
Schaller, D., Christ, C. D., Chodera, J. D., & Volkamer, A. (2024) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.4c00905 · Cited by 21
Mechanism and cellular actions of the potent AMPK inhibitor BAY-3827
Bringas, C. F., Ahangar, M. S., Cuenco, J., Liu, H., Addinsall, A. B., Lindahl, M., Ovens, A. J., Febbraio, M. A., Foretz, M., Göransson, O., et al. (2025) · Science Advances · doi:10.1126/sciadv.adx2434 · Cited by 11
Piserchio, A., Isiorho, E. A., Dalby, K. N., & Ghose, R. (2023) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2023.104813 · Cited by 12
Khan, Z. R., Welsby, P. J., Stasik, I., & Hayes, J. M. (2024) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.4c00373 · Cited by 11
Response and Resistance to Trametinib in MAP2K1-Mutant Triple-Negative Melanoma
Krebs, F. S., Moura, B., Missiaglia, E., Aedo-Lopez, V., Michielin, O. A., Tsantoulis, P. K., Bisig, B., Trimech, M., Zoete, V., & Homicskó, K. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24054520 · Cited by 11
Spitaleri, A., Zia, S. R., Micco, P. D., Al‐Lazikani, B., Soler, M. A., & Rocchia, W. (2020) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.0c03075 · Cited by 11
Dynamic equilibria in protein kinases
Pegram, L. M., Anderson, J. W., & Ahn, N. G. (2021) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2021.07.006 · Cited by 12
Large-Scale Virtual Screening Against the MET Kinase Domain Identifies a New Putative Inhibitor Type
Bresso, E., Furlan, A., Noel, P., Leroux, V., Maina, F., Dono, R., & Maigret, B. (2020) · Molecules · doi:10.3390/molecules25040938 · Cited by 11
Exploring the Druggable Conformational Space of Protein Kinases Using AI-Generated StructuresPreprint
Herrington, N. B., Stein, D. F., Li, Y. C., Pandey, G. S., & Schlessinger, A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.31.555779 · Cited by 11
Majumdar, S., Palma, F. D., Spyrakis, F., Decherchi, S., & Cavalli, A. (2023) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.3c00738 · Cited by 10
Kashyap, M., Gupta, S., Bansal, Y., & Bansal, G. (2024) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2024.117966 · Cited by 10
af2rave: protein ensemble generation with physics-based sampling
Teng, D., Meraz, V. J., Aranganathan, A., Gu, X., & Tiwary, P. (2025) · Digital Discovery · doi:10.1039/d5dd00201j · Cited by 10
Molecular Basis for Ser/Thr Specificity in PKA Signaling
Knape, M. J., Wallbott, M., Burghardt, N. C. G., Bertinetti, D., Hornung, J., Schmidt, S. H., Lorenz, R., & Herberg, F. W. (2020) · Cells · doi:10.3390/cells9061548 · Cited by 10
A Comprehensive Phylogenetic Analysis of the MAP4K Family in the Green Lineage
Pan, L., de Lima, C. F. F., Vu, L. D., & Smet, I. D. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.650171 · Cited by 10
Classifying protein kinase conformations with machine learning
Reveguk, I., & Simonson, T. (2024) · Protein Science · doi:10.1002/pro.4918 · Cited by 9
Cell cycle progression mechanisms: slower cyclin-D/CDK4 activation and faster cyclin-E/CDK2Preprint
Zhang, W., Liu, Y., Jang, H., & Nussinov, R. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.16.553605 · Cited by 10
Soonthonsrima, T., Putra, I. D., Phookphan, P., Zin, Z., Yokoya, M., & Pithi Chanvorachote, B. (2025) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.4c00436 · Cited by 9
Chitnis, S. P., Wittlinger, F., Möllers, M., Hartman, T. J., Günther, M., Eck, M. J., Laufer, S., & Heppner, D. E. (2025) · Archiv der Pharmazie · doi:10.1002/ardp.70027 · Cited by 9
Patil, K., Jordan, E. J., Park, J. H., Suresh, K., Smith, C. M., Lemmon, A. A., Mossé, Y. P., Lemmon, M. A., & Radhakrishnan, R. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2019132118 · Cited by 9
Young, B. M., Rossi, P., Slavish, P. J., Cui, Y., Sowaileh, M. F., Das, J. K., Kalodimos, C. G., & Ranković, Z. (2021) · Organic Letters · doi:10.1021/acs.orglett.1c02084 · Cited by 8
Correlation Analysis of Target Selectivity and Side Effects of FDA‐Approved Kinase Inhibitors**
Bayazeid, O., & Rahman, T. (2021) · ChemistrySelect · doi:10.1002/slct.202101367 · Cited by 9
Azhar, M., Kincaid, Z., Kesarwani, M., Menke, J., Schwieterman, J., Ansari, S., Reaves, A., Ahmed, A., Shehzad, R., Khan, A., et al. (2022) · Blood Advances · doi:10.1182/bloodadvances.2022007486 · Cited by 9
Misra, R., Maity, A., Kundu, S., Bhunia, M., Nanda, B., Maiti, N. C., & Pal, U. (2023) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.2c01349 · Cited by 10
New 3-Aryl-2-(2-thienyl)acrylonitriles with High Activity Against Hepatoma Cells
Schaller, E., Ma, A., Gosch, L. C., Klefenz, A., Schaller, D., Goehringer, N., Kaps, L., Schuppan, D., Volkamer, A., Schobert, R., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22052243 · Cited by 9
Electronic and structural study of T315I mutated form in DFG-out conformation of BCR-ABL inhibitors
Pereira, W. A., Nascimento, É. C. M., & Martins, J. B. L. (2021) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2021.1935320 · Cited by 9
Lorenz, R., Wu, J., Herberg, F. W., Taylor, S. S., & Engh, R. A. (2021) · Biochemistry · doi:10.1021/acs.biochem.1c00359 · Cited by 9
A Structurally-Validated Multiple Sequence Alignment of 497 Human Protein Kinase DomainsPreprint
Modi, V., & Dunbrack, R. L. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/776740 · Cited by 9
Self-citationEmpowering AlphaFold2 for protein conformation selective drug discovery with AlphaFold2-RAVEPreprint
Gu, X., Aranganathan, A., & Tiwary, P. (2024) · eLife · doi:10.7554/elife.99702.2 · Cited by 10
Nicolaou, S. T., Kannan, S., Warwicker, J., & Verma, C. S. (2022) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.26393 · Cited by 8
Antunes, M., & Sá‐Correia, I. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.10.006 · Cited by 8
Development of Kinase‐Centric Drugs: A Computational Perspective
Gajulapalli, V. P. R. (2023) · ChemMedChem · doi:10.1002/cmdc.202200693 · Cited by 8
Inter-lobe Motions Allosterically Regulate the Structure and Function of EGFR Kinase
Moritsugu, K., Nishino, Y., & Kidera, A. (2020) · Journal of Molecular Biology · doi:10.1016/j.jmb.2020.06.007 · Cited by 8
Martin, H. L., Turner, A. L., Higgins, J. W., Tang, A. A.-S., Tiede, C., Taylor, T. J., Siripanthong, S., Adams, T. L., Manfield, I. W., Bell, S. M., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113184 · Cited by 8
Probes for Photoaffinity Labelling of Kinases
Korovesis, D., Beard, H. A., Mérillat, C., & Verhelst, S. H. L. (2021) · ChemBioChem · doi:10.1002/cbic.202000874 · Cited by 8
Generalizable Protein Dynamics in Kinases: Physics is the keyPreprint
Bhakat, S., Vats, S., Mardt, A., & Degterev, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.06.641878 · Cited by 8
Zeng, Q., Peng, F., Wang, J., Wang, S., Lu, X., Bakhsh, A., Li, Y., Qaraevna, B. Z., Ye, W., & Yin, Z. (2025) · Physiologia Plantarum · doi:10.1111/ppl.70031 · Cited by 9
Wang, L., Wang, Y., Zhang, L., Zhao, J., Wu, S., & Yang, Z. (2025) · Molecules · doi:10.3390/molecules30050979 · Cited by 7
The Solvation of the E. coli CheY Phosphorylation Site Mapped by XFMS
Hamid, M., Khalid, M. F., Chaudhary, S. U., & Khan, S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232112771 · Cited by 7
Zhao, D. F., Kovacs, A. H., Campbell, M., Floriano, W. B., & Hou, J. (2023) · Journal of Molecular Structure · doi:10.1016/j.molstruc.2023.136178 · Cited by 7
Shawky, M. M., Abdallah, M., Khalifa, H., Aboushady, Y., Abadi, A., Engel, M., & Abdel‐Halim, M. (2024) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2024.107235 · Cited by 7
Guérin, C., Vinchent, A., Fernandes, M., Damour, I., Laratte, A., Tellier, R., Estevam, G. O., Meneboo, J., Villenet, C., Descarpentries, C., et al. (2025) · Molecular Oncology · doi:10.1002/1878-0261.13806 · Cited by 7
Nagarajan, H., Ansar, S., Vetrivel, U., & Jeyakanthan, J. (2022) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-022-00459-0 · Cited by 7
Tan, S., Wang, J., Gao, P., Xie, G., Zhang, Q., Liu, H., & Yao, X. (2023) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.3c00338 · Cited by 7
Empowering AlphaFold2 for protein conformation selective drug discovery with AlphaFold2-RAVE
Gu, X., Aranganathan, A., & Tiwary, P. (2024) · eLife · doi:10.7554/elife.99702.3 · Cited by 33
Riedlová, K., Škrhák, V., Gatlin, W., Ludwick, M., Turano, L., Novotný, M., Hoksza, D., & Verkhivker, G. M. (2026) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.6c00427 · Cited by 6
ATP-Driven Nonequilibrium Activation of Kinase Clients by the Molecular Chaperone Hsp90
Xu, H. (2020) · Biophysical Journal · doi:10.1016/j.bpj.2020.08.038 · Cited by 6
Linville, A. C., Rico, A. B., Teague, H., Binsted, L. E., Smith, G. L., Albarnaz, J. D., & Wiebe, M. S. (2022) · Journal of Virology · doi:10.1128/jvi.00398-22 · Cited by 6
Cancer drugs with high repositioning potential for Alzheimer’s disease
Majeed, J., Sabbagh, M. N., Kang, M. H., Lawrence, J. J., Pruitt, K., Bacus, S. S., Reyna, E., Brown, M., & Decourt, B. (2023) · Expert Opinion on Emerging Drugs · doi:10.1080/14728214.2023.2296079 · Cited by 9
Bipartite binding of the intrinsically disordered scaffold protein JIP1 to the kinase JNK1
Orand, T., Delaforge, E., Lee, A., Kragelj, J., Tengo, M., Tengo, L., Blackledge, M. J., Erba, E. B., Davis, R. J., Palencia, A., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2419915122 · Cited by 6
El‐Deen, N. A., DeFilippis, R., Abdel‐Aziz, A. K., Milik, S. N., Patel, S., Ismail, M. I., Khaled, O., Ahmed, T. E., Abdelfattah, A. G., Ali, E. M. H., et al. (2025) · Archiv der Pharmazie · doi:10.1002/ardp.70002 · Cited by 6
Fang, J., Chai, Z., Huang, R. Z., Huang, C., Ming, Z., Chen, B., Yao, W., & Zhang, M. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1191449 · Cited by 6
Lee, C., Maier, W., Jiang, Y., Nakano, K., Lechtreck, K. F., & Gaertig, J. (2023) · Journal of Cell Science · doi:10.1242/jcs.261256 · Cited by 6
How Far Are We from the Rapid Prediction of Drug Resistance Arising Due to Kinase Mutations?
Erguven, M., Karakulak, T., Diril, M. K., & Karaca, E. (2021) · ACS Omega · doi:10.1021/acsomega.0c04672 · Cited by 6
Identification of Inhibitors of the Schistosoma mansoni VKR2 Kinase Domain
Mathavan, I., Liu, L. J., Robinson, S. W., El‐Sakkary, N., Elatico, A. J. J., Gomez, D. C., Nellas, R. B., Owens, R. J., Zuercher, W. J., Navratilova, I. H., et al. (2022) · ACS Medicinal Chemistry Letters · doi:10.1021/acsmedchemlett.2c00248 · Cited by 6
Estevam, G. O., Linossi, E. M., Macdonald, C. B., Espinoza, C. A., Michaud, J. M., Coyote‐Maestas, W., Collisson, E. A., Jura, N., & Fraser, J. S. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.03.551866 · Cited by 6
Schaller, D., Christ, C. D., Chodera, J. D., & Volkamer, A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.11.557138 · Cited by 6
Crystal Structures Reveal Hidden Domain Mechanics in Protein Kinase A (PKA)
Welsh, C. L., Conklin, A. E., & Madan, L. K. (2023) · Biology · doi:10.3390/biology12111370 · Cited by 5
Güven, E. B., Durmaz, İ., Altiparmak, D., Servili, B., Essiz, S. G., Çetin-Atalay, R., & Tunçbilek, M. (2023) · RSC Medicinal Chemistry · doi:10.1039/d3md00440f · Cited by 6
Cyclin‐Dependent Kinase 11: Cellular Functions and Potential Therapeutic Applications
Shrestha, J., Blanchard, J., & Tadesse, S. (2025) · ChemMedChem · doi:10.1002/cmdc.202500305 · Cited by 5
Guo, C., Li, Q., Xiao, J., Ma, F., Xia, X., & Shi, M. (2022) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2022.2135601 · Cited by 5
Kumar, M., Bharti, R., & Azad, G. K. (2024) · Human Gene · doi:10.1016/j.humgen.2024.201332 · Cited by 5
Samanta, S., Sk, M. F., Koirala, S., & Kar, P. (2024) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.4c03217 · Cited by 5
Infigratinib low dose therapy is an effective strategy to treat hypochondroplasia
Demuynck, B., Shah, B. P., Mayeux, F., Vasseur, L., Barbault, F., Ding, J., Paull, M. L., Reddi, T., Muslimova, E., & Legeai‐Mallet, L. (2025) · Journal of Bone and Mineral Research · doi:10.1093/jbmr/zjaf088 · Cited by 5
Ten rules for a structural bioinformatic analysis
Wankowicz, S. A. M. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013094 · Cited by 5
Kim, M., Pandit, S., & Jee, J. (2022) · Pharmaceuticals · doi:10.3390/ph15020236 · Cited by 6
Drug discovery for cancer therapy with special reference to inhibitors of protein kinase pathway
Nayak, C., & Singh, S. K. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91287-7.00024-7 · Cited by 5
Galan, S. R. G., Raj, R., Mamalis, D., Jones, L. H., Mohammed, S., & Davis, B. G. (2023) · Chemical Science · doi:10.1039/d3sc04631a · Cited by 5
Veth, T. S., Kannegieter, N. M., de Graaf, E. L., Ruijtenbeek, R., Joore, J., Ressa, A., & Altelaar, M. A. F. (2024) · Drug Discovery Today · doi:10.1016/j.drudis.2024.103907 · Cited by 5
Paul, A., Subhadarshini, S., & Srinivasan, N. (2021) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.26271 · Cited by 4
Erguven, M., Kılıç, S., Karaca, E., & Diril, M. K. (2022) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2022.2131627 · Cited by 5
Pseudokinase NRP1 facilitates endocytosis of transferrin in the African trypanosome
Kumar, G., Thomas, B., & Mensa‐Wilmot, K. (2022) · Scientific Reports · doi:10.1038/s41598-022-22054-x · Cited by 5
Raisinghani, N., Alshahrani, M., Gupta, G., Tian, H., Xiao, S., Tao, P., & Verkhivker, G. M. (2024) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.4c04985 · Cited by 4
Metadata
- Authors
- Modi, V., & Dunbrack, R. L.
- Affiliations
- Fox Chase Cancer Center (US)
- Corresponding author
- Dunbrack, Roland L.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2019-03-13
- Volume
- 116
- Issue
- 14
- Pages
- 6818-6827
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC6452665
- OpenAlex
- W2922340164
- Cited by
- 367
- References
- 38
- Citations by year
- 2026: 54 · 2025: 44 · 2024: 65 · 2023: 68 · 2022: 48 · 2021: 48 · 2020: 33 · 2019: 6
- FWCI
- 11.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- HHS | NIH | National Institute of General Medical Sciences (R35 GM122517)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Keywords
- protein kinases, DFG motif, kinase activation loop, kinase inhibitors, backbone dihedral angles, density-based clustering, structure-based drug design, type II kinase inhibitors
- MeSH terms
- Algorithms, Models, Molecular, Terminology as Topic, Protein Kinases, Substrate Specificity, Protein Structure, Secondary, Catalytic Domain, Protein Kinase Inhibitors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review